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Optimisation, Clustering, Evolutionary Algorithms
United Kingdom

Activities

Employment (4)

University College London: London, GB

Employment
Source: check_circle
University College London

The Francis Crick Institute: London, GB

Senior ML Engineer (SEAI)
Employment
Source: Self-asserted source
Cameron Shand

IBM Research: Warrington, GB

2019-02 to 2019-05 | Research intern
Employment
Source: Self-asserted source
Cameron Shand

F Hoffmann-La Roche AG: Basel, Basel, CH

2013-08-01 to 2014-07-31 | Intern (Industrial Placement Year) (Biologics)
Employment
Source: Self-asserted source
Cameron Shand

Education and qualifications (3)

The University of Manchester: Manchester, GB

Education
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University of Manchester - PURE

University of Manchester: Manchester, Manchester, GB

2015-09 to present | CDT PhD Student (Computer Science)
Education
Source: Self-asserted source
Cameron Shand

University College London: London, London, GB

2010-09 to 2015-07 | Biochemical Engineering with Bioprocess Management (Biochemical Engineering)
Education
Source: Self-asserted source
Cameron Shand

Works (5)

pySuStaIn: a Python implementation of the Subtype and Stage Inference algorithm

2021-06-10 | Working paper
SOURCE-WORK-ID:

1870698

SOURCE-WORK-ID:

1892075

Part of ISSN: 2352-7110
Contributors: Leon Aksman; Peter A. Wijeratne; Neil P. Oxtoby; Eshaghi A; Cameron Shand; Andre Altmann; Daniel C. Alexander; Alexandra Young
Source: Self-asserted source
Cameron Shand

HAWKS: Evolving Challenging Benchmark Sets for Cluster Analysis

2021-02-13 | Preprint
SOURCE-WORK-ID:

1847378

Part of ISSN: 1089-778X
Source: Self-asserted source
Cameron Shand

Explainable AI reveals key changes in skin microbiome associated with menopause, smoking, aging and skin hydration

[]
2020-07-03 | Preprint
Source: Self-asserted source
Cameron Shand

Evolving controllably difficult datasets for clustering

Proceedings of the Genetic and Evolutionary Computation Conference on - GECCO '19
2019 | Conference paper
Source: Self-asserted source
Cameron Shand
grade
Preferred source (of 2)‎

Towards an adaptive encoding for evolutionary data clustering

GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference
2018 | Conference paper
EID:

2-s2.0-85050609540

Contributors: Shand, C.; Handl, J.; Allmendinger, R.; Keane, J.
Source: Self-asserted source
Cameron Shand via Scopus - Elsevier
grade
Preferred source (of 2)‎